Norio Shinkai

772 citations
14 papers · 408 indexed · 1 hit paper · h-index 10
Topics
Cancer Genomics and Diagnostics (5 papers)Epigenetics and DNA Methylation (4 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
Partner nations
JapanUnited KingdomIndia

In The Last Decade

Norio Shinkai

13 papers receiving 398 citations

Hit Papers

Comparison of Vision Transformers and Convolutional Neura...20242026202520241020304050

Peers

Norio Shinkai
Comparison fields: 5 of 103
  • Radiology, Nuclear Medicine and Imaging 150
  • Molecular Biology 124
  • Artificial Intelligence 106
  • Cancer Research 76
  • Health Informatics 58
Replace Amina Bolatkan with:
Amina Bolatkan Japan
Kevin Boehm United States
Ken Takasawa Japan
Luoting Zhuang United States
Ryo Shimoyama Japan
Felipe Giuste United States
Saba Shafi United States
Marko van Treeck Germany
Jasleen Grewal Canada
Ronnachai Jaroensri United States
Norio Shinkai relative to Amina Bolatkan Japan Amina Bolatkan's profile →
Citations per field
00.5×1.5×
Amina Bolatkan · 1×
Citations per year

Countries citing papers authored by Norio Shinkai

Since Specialization
Citations

This map shows the geographic impact of Norio Shinkai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Norio Shinkai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Shinkai more than expected).

Fields of papers citing papers by Norio Shinkai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norio Shinkai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Norio Shinkai. The network helps show where Norio Shinkai may publish in the future.

Co-authorship network of co-authors of Norio Shinkai

This figure shows the co-authorship network connecting the top 25 collaborators of Norio Shinkai. A scholar is included among the top collaborators of Norio Shinkai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Norio Shinkai. Norio Shinkai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Reviewbreakdown →
58
3 9
4 9
5 31
6 11
7 36
8 21
9 7
10 14
11 21
12 62
13 126
14 3

About Norio Shinkai

Norio Shinkai is a scholar working on Health Informatics, Cancer Research and Biophysics, having authored 14 papers that have together received 408 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (58 citations), Radiology, Nuclear Medicine and Imaging (150 citations) and Cancer Research (76 citations). Norio Shinkai has collaborated with scholars based in Japan, United Kingdom and India. Frequent co-authors include Ryuji Hamamoto, Masaaki Komatsu, Syuzo Kaneko, Ken Asada, Ken Takasawa, Hidenori Machino, Kazuma Kobayashi, Amina Bolatkan, Satoshi Takahashi and Ryo Shimoyama. Their work appears in journals such as Scientific Reports, Cancers and Briefings in Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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